随机试验协议:史诗般的生成人工智能图表总结工具,以减少门诊提供者的认知任务负载
medRxiv : the preprint server for health sciences
|February 27, 2026
概括
这项研究测试了一种新的AI工具,用于为医生总结患者病历. 早期结果表明,生成性AI图表总结器可能有助于减少临床医生的工作量,但需要更多的研究.
科学领域:
- 临床信息学 临床信息学
- 医疗保健中的人工智能
- 医疗文件 医疗文件
背景情况:
- 电子健康记录 (EHR) 文档和图表审查增加了临床医生的工作负担和倦怠.
- 史诗的生成AI图表总结工具旨在减少预图表负担.
- 这种人工智能工具的影响尚未在随机试验中进行评估.
研究的目的:
- 评估Epic的生成人工智能图表总结工具是否减少了门诊提供者的认知任务负载.
- 与通常的护理进行比较,以评估工具的有效性.
主要方法:
- 一个90天的,双臂,并行组随机对照试验,涉及门诊临床医生.
- 随机对临床医生进行1:1对AI工具访问或常规护理.
- 主要结局:改变医生任务负载 (PTL) 的4项,用于预绘图. 探索性结果包括EHR时间指标,倦怠和可用性.
主要成果:
- 数据分析将利用临床医生级调查答案和汇总的EHR指标.
- 不包括患者级别的受保护健康信息.
- 结果将通过预版和同行评审出版物传播.
结论:
- 这项研究评估了一项实用性随机对照试验,该试验使用了嵌入EHR的生成AI工具来总结临床笔记.
- 主要结果是认知任务负载,探索性结果包括时间指标,倦怠和可用性.
- 局限性包括单中心设计和无遮蔽的,可选使用的干预.
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